| A semi-supervised graph attentive network for financial fraud detection D Wang, J Lin, P Cui, Q Jia, Z Wang, Y Fang, Q Yu, J Zhou, S Yang, Y Qi ICDM 2019, 598-607, 2020 | 469 | 2020 |
| Heterogeneous graph neural networks for malicious account detection Z Liu, C Chen, X Yang, J Zhou, X Li, L Song Proceedings of the 27th ACM international conference on information and …, 2018 | 395 | 2018 |
| Geniepath: Graph neural networks with adaptive receptive paths Z Liu, C Chen, L Li, J Zhou, X Li, L Song, Y Qi Proceedings of the AAAI conference on artificial intelligence 33 (01), 4424-4431, 2019 | 358 | 2019 |
| Cross-domain recommendation: challenges, progress, and prospects F Zhu, Y Wang, C Chen, J Zhou, L Li, G Liu IJCAI 2021: 4721-4728, 2021 | 245 | 2021 |
| Pruning from scratch Y Wang, X Zhang, L Xie, J Zhou, H Su, B Zhang, X Hu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12273 …, 2020 | 234 | 2020 |
| Label Inference Attacks Against Vertical Federated Learning C Fu, X Zhang, S Ji, J Chen, J Wu, S Guo, J Zhou, AX Liu, T Wang 31st USENIX Security Symposium (USENIX Security 22), 2022 | 220 | 2022 |
| cw2vec: Learning chinese word embeddings with stroke n-gram information S Cao, W Lu, J Zhou, X Li Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 159 | 2018 |
| Cash-out user detection based on attributed heterogeneous information network with a hierarchical attention mechanism B Hu, Z Zhang, C Shi, J Zhou, X Li, Y Qi Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 946-953, 2019 | 148 | 2019 |
| Timemixer: Decomposable multiscale mixing for time series forecasting S Wang, H Wu, X Shi, T Hu, H Luo, L Ma, JY Zhang, J Zhou arXiv preprint arXiv:2405.14616, 2024 | 142 | 2024 |
| AGL: a Scalable System for Industrial-purpose Graph Machine Learning YQ Dalong Zhang, Xin Huang, Ziqi Liu, Jun Zhou, Zhiyang Hu, Xianzheng Song ... Proceedings of the VLDB Endowment 13 (12), 3125-3137, 2020 | 140* | 2020 |
| Vertically federated graph neural network for privacy-preserving node classification C Chen, J Zhou, L Zheng, H Wu, L Lyu, J Wu, B Wu, Z Liu, L Wang, ... arXiv preprint arXiv:2005.11903, 2020 | 125 | 2020 |
| Improving transferability of adversarial patches on face recognition with generative models Z Xiao, X Gao, C Fu, Y Dong, W Gao, X Zhang, J Zhou, J Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 122 | 2021 |
| Financial risk analysis for SMEs with graph-based supply chain mining S Yang, Z Zhang, J Zhou, Y Wang, W Sun, X Zhong, Y Fang, Q Yu, Y Qi Proceedings of the twenty-ninth international conference on international …, 2021 | 107 | 2021 |
| Eatn: An efficient adaptive transfer network for aspect-level sentiment analysis K Zhang, Q Liu, H Qian, B Xiang, Q Cui, J Zhou, E Chen IEEE Transactions on Knowledge and Data Engineering 35 (1), 377-389, 2021 | 106 | 2021 |
| Distributed deep forest and its application to automatic detection of cash-out fraud YL Zhang, J Zhou, W Zheng, J Feng, L Li, Z Liu, M Li, Z Zhang, C Chen, ... ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-19, 2019 | 95 | 2019 |
| When homomorphic encryption marries secret sharing: Secure large-scale sparse logistic regression and applications in risk control C Chen, J Zhou, L Wang, X Wu, W Fang, J Tan, L Wang, AX Liu, H Wang, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 94 | 2021 |
| Privacy preserving point-of-interest recommendation using decentralized matrix factorization C Chen, Z Liu, P Zhao, J Zhou, X Li Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 92 | 2018 |
| A comprehensive study of knowledge editing for large language models N Zhang, Y Yao, B Tian, P Wang, S Deng, M Wang, Z Xi, S Mao, J Zhang, ... arXiv preprint arXiv:2401.01286, 2024 | 86 | 2024 |
| Anomaly detection with partially observed anomalies YL Zhang, L Li, J Zhou, X Li, ZH Zhou Companion Proceedings of the The Web Conference 2018, 639-646, 2018 | 81 | 2018 |
| ASFGNN: Automated Separated-Federated Graph Neural Network L Zheng, J Zhou, C Chen, B Wu, L Wang, B Zhang Peer-to-Peer Netw. Appl. (2021), 2020 | 79 | 2020 |
Chaochao ChenZhejiang UniversityПідтверджена електронна адреса в zju.edu.cn
